NEWS お知らせ

また、4件の発表が受賞しました!

[11]の発表: Excellent Paper Award, Silver Prize

[1]の発表 : Excellent Poster Award, Gold Prize

[2]の発表 : Excellent Student Poster Award, Silver Prize

[3]の発表 : Excellent Student Poster Award, Outstanding Prize

[1] Image-Guided 360-Degree Scene Generation with Structural and Visual Consistency
Yuki Katayama, Ren Togo, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[2] Similar Image Generation via Human-like Iterative Prompt Refinement with Multimodal Large Language Model
Taiyo Sato, Keisuke Maeda, Naoki Saito, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[3] Enhancing Medical Dataset Distillation Based on Classifier-Guided Diffusion Model
Shuailin Du, Guang Li, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[4] Application of Principal Component Analysis in Hyperspectral Analysis of Rubber Materials
Kentaro Oishi (Hokkaido University, Japan & Sumitomo Rubber Industries, Ltd., Japan); Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[5] Rethinking Continual Learning with Pre-Trained Models: Knowledge-Preserving Approach
Makoto Misaizu, Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Rafal Rzepka, Toshihiko Itoh and Miki Haseyama (Hokkaido University, Japan)

[6] Foul Severity Classification from Multi-View Soccer Videos with Attention and Class Characteristics
Kotone Mutsuna, Ryota Goka, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[7] Graph-Based Pass Receiver Prediction in Soccer with Consideration of Passer’s Body Orientation
Riku Yoshida, Ryota Goka, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[8] Stream Voice Diffusion: Real-Time Image Generation from Speech
Hideo Kodama, Masaki Yoshida, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[9] Enhancing Image Classifier Robustness via Prompt-Based Counterfactual Data-Augmentation with Intermediate Transitions
Tomoya Mitsui, Ren Togo, Naoki Saito, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[10] An Investigation of Data Augmentation for Image Classification Network Based on Graph Convolution
Ryusei Mikami, Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[11] SSM-Based Sequential Recommendation Considering Short-Term Dependencies of Time and Adjacency
Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

[12] Patch-Wise Extension of EVA Score for Semi-Supervised Lung Field Segmentation
Taiyo Ikeido, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan)

https://www.ieee-gcce.org/2025/index.html